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Data scientist jobs

Data scientist hiring is rebalancing toward product + growth analytics as ML eats the modelling track. We surface both.

161 matching roles in cache · refreshed daily

About these roles

Data scientist has been the most semantically overloaded title in tech for a decade, and 2026 is no different — but the centre of gravity has shifted. The classical modelling track (recommendation systems, forecasting, A/B-test design at scale) is increasingly absorbed into ML-engineering teams, while the product/growth analytics track has expanded as companies push experimentation discipline deeper into PM workflows. Strong candidates today combine SQL fluency, applied statistics (causal inference, experimental design), Python for analysis, and the communication skills to land insights with non-technical stakeholders. Comp at senior DS lands $180-260k US base, £85-140k London, with FAANG and the trading-tech tier going meaningfully higher. Expect SQL screens, an experiment-design case study, and a business-judgment round in most processes. Pure-research DS roles (causal inference at scale, geo experiments) cluster at Meta, Netflix, Uber, Lyft, Airbnb, and the ride-hail/marketplace tier.

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